Estimasi Nilai Risiko Return Portofolio Saham LQ-45 dan JII dengan Copula Gaussian

Value at Risk, Copula, GARCH

Authors

  • Fatimah Zuhra UIN Suska Riau

Keywords:

Copula , GARCH, Value at Risk

Abstract

The purpose of an investor in investing in a stock portfolio is to maximize return and minimize risk. The most commonly used risk measure is Value at Risk (VaR) which can be calculated using a copula. The best copula is the Gaussian copula that can calculate the risk value in the combined distribution between LQ-45 returns and JII returns, which have a volatility effect so that it is modeled with the AR (1)-GARCH (1,1) model. With a 95% confidence level, the Gaussian copula has the smallest VaR value with the largest return.

References

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Patton, Andrew. 2013. Copula Methods for Forecasting Multivariate Time Series. Vol. 2. Elsevier B.V.

Patton, Andrew J. 2012. “A Review of Copula Models for Economic Time Series.” Journal of Multivariate Analysis 110:4–18. doi: 10.1016/j.jmva.2012.02.021.

Tsay, R. S. 2005. Analysis of Financial Time Series Second Edition. John Wiley & Sons, Inc., New Jersey.

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Published

2022-06-06

How to Cite

Zuhra, F. (2022). Estimasi Nilai Risiko Return Portofolio Saham LQ-45 dan JII dengan Copula Gaussian: Value at Risk, Copula, GARCH . IJBEM : Indonesian Journal of Business Economics and Management, 1(2), 11-18. Retrieved from https://journal.irpi.or.id/index.php/ijbem/article/view/207